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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Daun, Thomas J.; Daniel G. Braun, Christopher Frank, Stephan Haug, Markus Lienkamp 
Titel:
Evaluation of Driving-behavior and the Efficacy of a Predictive Eco-Driving Assistance System for Heavy Commercial Vehicles in a Driving Simulator Experiment 
Seitenangaben Beitrag:
2379 - 2386 
Abstract:
Driving style is a key factor when it comes to real-world fuel economy. Advanced driver assistance systems (ADAS) hold the potential to support drivers in reducing fuel consumption. In this regard, predictive analysis of the road profile is a highly promising approach. This paper describes the methodology and results of a driving simulator experiment evaluating the efficacy of such a predictive eco-driving assistance system (EDAS). Furthermore, behavioral aspects are another object of the study....    »
 
Stichworte:
FTM Fahrerassistenz 
Kongress- / Buchtitel:
16th International IEEE Conference on Intelligent Transportation Systems ITSC 
Jahr:
2013 
Nachgewiesen in:
Scopus 
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik